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Stoichiometric quantification of Akt phosphorylation using LC-MS/MS.

ABSTRACT: The Ptdlns-3-kinase (PI3-K) signaling pathway plays a vital role in cell survival, proliferation, apoptosis and differentiation in normal cells, as well as in diseases such as cancer and diabetes. Quantification of phospho-Akt is a standard way of assessing the activity of the PI3-K signaling pathway in both cells and tumors. This measurement is traditionally performed semiquantitatively using immunoassays such as Western blot. Here we report an LC-MS method to accurately measure the stoichiometry of Akt phosphorylation in biological samples. The procedure includes immunoprecipitation, gel electrophoresis, in-gel digestion, addition of isotopicaly labeled internal standards and LC-MS/MS. Two proteolytic enzymes, chymotrypsin and trypsin, were used to generate suitable peptide fragments for measuring Thr308 and Ser473 phosphorylation, respectively. The interday imprecision was estimated to be 3.8% and 2.3% for Thr308 and Ser473, respectively. This method has been tested on human T-cells grown in presence and absence of pervanadate and with or without a PI3-K inhibitor and on human glioblastoma cells (U-87 MG) grown in presence and absence of wortmannin (PI3-K inhibitor).The results of T cells suggest that the levels of Akt phosphorylation in untreated cells were below 1% for both phosphorylation sites. Pervanadate treatment provoked an 18-fold increase in phosphorylation of Thr308 and the PI3-K inhibitor partially reversed the increase. A comparison between LC-MS/MS and Western blotting suggests that the LC-MS based method is of comparable sensitivity and provides a more accurate phosphorylation stoichiometry, a wider dynamic range and more in-depth information. The application of the new method and its utility to providing predictive markers of response to targeted therapies is discussed.

SUBMITTER: Atrih A

PROVIDER: S-EPMC2816933 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Assessing human exposure to commonly used, highly toxic, but non-persistent organophosphates (OPs) is challenging because these toxicants are readily biotransformed into dialkyl phosphates (DAPs) and other metabolites. Growing hair accumulates toxicants and their metabolites, which makes hair a valuable non-invasively sampled matrix that can be used to retrospectively examine chemical exposure. However, the efficient quantification of hydrophilic DAP compounds in hair is challenging due to complex hair matrix effects. To improve upon existing methods, we first examined the acid dissociation constants (pKa) of DAPs and amino acids (major components in hair) and identified the best pH conditions for minimizing matrix effects. We hypothesized that under basic pH conditions DAPs and amino acids would be negatively charged and have weak interactions favorable to DAP dissociation from the matrix. To test this, we compared the efficiency of various pH conditions of suitable solvents to extract six DAPs from hair samples, and we quantified these DAPs using liquid chromatography-tandem mass spectroscopy (LC-MS/MS). As expected, a basic extraction (methanol with 2% NH4OH) approach had the highest extraction efficiency and yielded satisfactory recoveries for all six DAPs (72%-152%) without matrix effects. Additionally, the alkaline extract can be directly injected into the LC-MS/MS. This relatively rapid and simple procedure allowed us to process up to 90 samples per week with reproducible results. To our knowledge, this is the first method to quantify all six DAPs simultaneously in hair using LC-MS/MS with electrospray ionization (ESI) in negative ion mode. Finally, we demonstrated the feasibility of measuring DAP levels in hair samples from patients affected with amyotrophic lateral sclerosis (ALS), a neurodegenerative disease potentially linked to OP exposure. Due to our optimized solvent extraction process, the method we have developed is compatible with the rapidity and sensitivity needed for hair analysis applied to population biomonitoring.

Project description:Quantification of steroid hormones in fish is an important step for toxicology and endocrinology studies. Among the hormone analysis techniques, liquid chromatography tandem mass spectrometry (LC-MS/MS) has widely been used for measuring hormones in various biological samples. Despite all improvements in the technique, detection of several hormones in a low volume of serum or plasma is still challenging. We developed a robust method for simultaneous quantification of 14 steroid hormones including corticosterone, cortisol, 11-ketotestosterone, progesterone, testosterone, 17OH-progesterone, aldosterone, dihydrotestosterone, estrone, 17β-estradiol, estriol, ethinylestradiol, levonorgestrel and equilin from volumes as low as 10 µL serum or plasma in a short run by LC-MS/MS. The lowest limit of detection in 10 µL serum was 0.012 ng/mL measured for cortisol, progesterone, testosterone, 17OH-progesterone and estrone. Use of high (25 times more) serum volume improved detection limit of hormones by 2-40 times. The method was compared with the radioimmunoassay technique in which testosterone and 17β-estradiol were highly correlated with R2 of 0.95 and 0.96, respectively. We validated the method by measuring four selected hormones, in low and high plasma volumes of largemouth bass (Micropterus salmoides). In addition, we developed a method to quantify hormones in whole body fish homogenates of small fish and compared the values to plasma concentrations, using fathead minnow (Pimephales promelas). Calculated concentrations of the hormones in plasma were consistent with those in the homogenate and 11-ketotestosterone and 17β-estradiol were significantly different in males and females. The ability to measure hormones from whole body homogenates was further evaluated in two model small fish species, zebrafish (Danio rerio) and juvenile silverside (Menidia beryllina). These results suggest that whole tissue homogenate is a reliable alternative for hormone quantification when sufficient plasma is not available.

Project description:BackgroundDiabetic nephropathy (DN) is the leading cause of chronic kidney failure and end-stage kidney disease. More accurate and non-invasive test for the diagnosis and monitoring the progression of DN is urgently needed for the better care of such patients.MethodsIn this study we utilized urinary glycoproteome to discover the differential proteins during the course of type 2 DN. The urinary glycoproteins from normal controls, normalbuminuira, microalbuminura, and macroalbuminuria patients were enriched by concanavalin A (ConA) and analyzed by 2DLC/MS/MS and isobaric tags for relative and absolute quantitation quantification.ResultsA total of 478 proteins were identified and 408 were annotated as N-linked glycoproteins. A total of 72, 107 and 123 differential proteins were identified in normalbuminuria, microalbuminuria and macroalbuminuria, respectively. By bioinformatics analysis, in normalbuminruia state, cell proliferation and cell movement were activated, which might reflect the compensatory phase during the disease development. In micro- and macro-albuminuria, cell death and apoptosis was activated, which might reflect the de-compensatory phase. Pathway analysis showed acute phase proteins, the member of high density lipoprotein and low density lipoprotein proteins were changed, indicating the role of the inflammatory response and lipid metabolism abnormality in the pathogenesis of DN. Six selected differential proteins were validated by Western Blot. Alpha-1-antitrypsin (SERPINA1) and Ceruloplasmin are the two markers with excellent area under curve values (0.929 and 1.000 respectively) to distinguish the microalbuminuria and normalbuminuria. For the first time, we found pro-epidermal growth factor and prolactin-inducible protein were decreased in macroalbuminuria stage, which might reflect the inhibition of cell viability and the activation of cell death in kidney.ConclusionsAbove data indicated that urinary glycoproteome could be useful to distinguish the differences in protein profiles in different stages in DN, which will help better individualized care of patients in DN.

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Stoichiometric quantification of Akt phosphorylation using LC-MS/MS.

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